Pandas Profiling Report

Dataset statistics

Number of variables	13
Number of observations	7050
Missing cells	0
Missing cells (%)	0.0%
Duplicate rows	53
Duplicate rows (%)	0.8%
Total size in memory	716.1 KiB
Average record size in memory	104.0 B

Variable types

Categorical	4
Numeric	9

Warnings

Dataset has 53 (0.8%) duplicate rows	Duplicates
`status_id` has a high cardinality: 6997 distinct values	High cardinality
`num_reactions` is highly correlated with `num_likes`	High correlation
`num_likes` is highly correlated with `num_reactions`	High correlation
`num_hahas` is highly skewed (γ1 = 20.30574123)	Skewed
`status_id` is uniformly distributed	Uniform
`num_reactions` has 121 (1.7%) zeros	Zeros
`num_comments` has 2119 (30.1%) zeros	Zeros
`num_shares` has 3911 (55.5%) zeros	Zeros
`num_likes` has 126 (1.8%) zeros	Zeros
`num_loves` has 4230 (60.0%) zeros	Zeros
`num_wows` has 5308 (75.3%) zeros	Zeros
`num_hahas` has 5916 (83.9%) zeros	Zeros
`num_sads` has 6443 (91.4%) zeros	Zeros
`num_angrys` has 6627 (94.0%) zeros	Zeros

Reproduction

Analysis started	2021-05-02 10:45:36.047497
Analysis finished	2021-05-02 10:45:45.627808
Duration	9.58 seconds
Software version	pandas-profiling v2.11.0
Download configuration	config.yaml

status_id
Categorical

HIGH CARDINALITY
UNIFORM

Distinct	6997
Distinct (%)	99.2%
Missing	0
Missing (%)	0.0%
Memory size	55.2 KiB

819700534875473_998824716963053	2
819700534875473_957697307742461	2
819700534875473_1000607730118085	2
819700534875473_976401089205416	2
819700534875473_963754250470100	2
Other values (6992)	7040

Length

Max length	33
Median length	31
Mean length	31.31531915
Min length	31

Characters and Unicode

Total characters	220773
Distinct characters	11
Distinct categories	2 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	6944 ?
Unique (%)	98.5%

Sample

1st row	246675545449582_1649696485147474
2nd row	246675545449582_1649426988507757
3rd row	246675545449582_1648730588577397
4th row	246675545449582_1648576705259452
5th row	246675545449582_1645700502213739

Value	Count	Frequency (%)
819700534875473_998824716963053	2	< 0.1%
819700534875473_957697307742461	2	< 0.1%
819700534875473_1000607730118085	2	< 0.1%
819700534875473_976401089205416	2	< 0.1%
819700534875473_963754250470100	2	< 0.1%
819700534875473_993975437447981	2	< 0.1%
819700534875473_957599447752247	2	< 0.1%
819700534875473_968264653352393	2	< 0.1%
819700534875473_999880033524188	2	< 0.1%
819700534875473_965407870304738	2	< 0.1%
Other values (6987)	7030	99.7%

Histogram of lengths of the category

Value	Count	Frequency (%)
819700534875473_998824716963053	2	< 0.1%
819700534875473_957697307742461	2	< 0.1%
819700534875473_1000607730118085	2	< 0.1%
819700534875473_976401089205416	2	< 0.1%
819700534875473_963754250470100	2	< 0.1%
819700534875473_993975437447981	2	< 0.1%
819700534875473_957599447752247	2	< 0.1%
819700534875473_968264653352393	2	< 0.1%
819700534875473_999880033524188	2	< 0.1%
819700534875473_965407870304738	2	< 0.1%
Other values (6987)	7030	99.7%

Most occurring characters

Value	Count	Frequency (%)
5	33235	15.1%
4	29099	13.2%
8	23717	10.7%
1	23706	10.7%
6	23509	10.6%
2	18242	8.3%
7	18191	8.2%
3	15301	6.9%
0	14681	6.6%
9	14042	6.4%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	213723	96.8%
Connector Punctuation	7050	3.2%

Most frequent character per category

Value	Count	Frequency (%)
5	33235	15.6%
4	29099	13.6%
8	23717	11.1%
1	23706	11.1%
6	23509	11.0%
2	18242	8.5%
7	18191	8.5%
3	15301	7.2%
0	14681	6.9%
9	14042	6.6%

Value	Count	Frequency (%)
_	7050	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Common	220773	100.0%

Most frequent character per script

Value	Count	Frequency (%)
5	33235	15.1%
4	29099	13.2%
8	23717	10.7%
1	23706	10.7%
6	23509	10.6%
2	18242	8.3%
7	18191	8.2%
3	15301	6.9%
0	14681	6.6%
9	14042	6.4%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	220773	100.0%

Most frequent character per block

Value	Count	Frequency (%)
5	33235	15.1%
4	29099	13.2%
8	23717	10.7%
1	23706	10.7%
6	23509	10.6%
2	18242	8.3%
7	18191	8.2%
3	15301	6.9%
0	14681	6.6%
9	14042	6.4%

num_reactions
Real number (ℝ_≥0)

HIGH CORRELATION
ZEROS

Distinct	1067
Distinct (%)	15.1%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%

Mean	230.1171631
Minimum	0
Maximum	4710
Zeros	121
Zeros (%)	1.7%
Memory size	55.2 KiB

Quantile statistics

Minimum	0
5-th percentile	2
Q1	17
median	59.5
Q3	219
95-th percentile	1239.65
Maximum	4710
Range	4710
Interquartile range (IQR)	202

Descriptive statistics

Standard deviation	462.6253091
Coefficient of variation (CV)	2.010390285
Kurtosis	16.73644703
Mean	230.1171631
Median Absolute Deviation (MAD)	52.5
Skewness	3.738452153
Sum	1622326
Variance	214022.1767
Monotocity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
1	131	1.9%
2	124	1.8%
0	121	1.7%
14	121	1.7%
3	116	1.6%
12	112	1.6%
18	111	1.6%
11	106	1.5%
10	101	1.4%
19	97	1.4%
Other values (1057)	5910	83.8%

Minimum 5 values
Maximum 5 values

Value	Count	Frequency (%)
0	121	1.7%
1	131	1.9%
2	124	1.8%
3	116	1.6%
4	78	1.1%

Value	Count	Frequency (%)
4710	1	< 0.1%
4410	1	< 0.1%
4315	2	< 0.1%
4114	2	< 0.1%
4094	1	< 0.1%

num_comments
Real number (ℝ_≥0)

ZEROS

Distinct	993
Distinct (%)	14.1%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%

Mean	224.3560284
Minimum	0
Maximum	20990
Zeros	2119
Zeros (%)	30.1%
Memory size	55.2 KiB

Quantile statistics

Minimum	0
5-th percentile	0
Q1	0
median	4
Q3	23
95-th percentile	1210.65
Maximum	20990
Range	20990
Interquartile range (IQR)	23

Descriptive statistics

Standard deviation	889.6368195
Coefficient of variation (CV)	3.965290463
Kurtosis	126.8628701
Mean	224.3560284
Median Absolute Deviation (MAD)	4
Skewness	9.028850488
Sum	1581710
Variance	791453.6706
Monotocity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
0	2119	30.1%
1	564	8.0%
2	364	5.2%
3	309	4.4%
4	249	3.5%
5	213	3.0%
6	188	2.7%
7	154	2.2%
8	136	1.9%
9	133	1.9%
Other values (983)	2621	37.2%

Minimum 5 values
Maximum 5 values

Value	Count	Frequency (%)
0	2119	30.1%
1	564	8.0%
2	364	5.2%
3	309	4.4%
4	249	3.5%

Value	Count	Frequency (%)
20990	1	< 0.1%
19013	1	< 0.1%
17404	1	< 0.1%
12003	1	< 0.1%
10960	1	< 0.1%

num_shares
Real number (ℝ_≥0)

ZEROS

Distinct	501
Distinct (%)	7.1%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%

Mean	40.02255319
Minimum	0
Maximum	3424
Zeros	3911
Zeros (%)	55.5%
Memory size	55.2 KiB

Quantile statistics

Minimum	0
5-th percentile	0
Q1	0
median	0
Q3	4
95-th percentile	260.1
Maximum	3424
Range	3424
Interquartile range (IQR)	4

Descriptive statistics

Standard deviation	131.5999655
Coefficient of variation (CV)	3.288145183
Kurtosis	96.8629404
Mean	40.02255319
Median Absolute Deviation (MAD)	0
Skewness	7.099332142
Sum	282159
Variance	17318.55092
Monotocity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
0	3911	55.5%
1	820	11.6%
2	320	4.5%
3	171	2.4%
4	113	1.6%
5	90	1.3%
6	74	1.0%
7	54	0.8%
8	35	0.5%
9	35	0.5%
Other values (491)	1427	20.2%

Minimum 5 values
Maximum 5 values

Value	Count	Frequency (%)
0	3911	55.5%
1	820	11.6%
2	320	4.5%
3	171	2.4%
4	113	1.6%

Value	Count	Frequency (%)
3424	1	< 0.1%
2139	1	< 0.1%
1636	1	< 0.1%
1618	1	< 0.1%
1430	1	< 0.1%

num_likes
Real number (ℝ_≥0)

HIGH CORRELATION
ZEROS

Distinct	1044
Distinct (%)	14.8%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%

Mean	215.0431206
Minimum	0
Maximum	4710
Zeros	126
Zeros (%)	1.8%
Memory size	55.2 KiB

Quantile statistics

Minimum	0
5-th percentile	2
Q1	17
median	58
Q3	184.75
95-th percentile	1160.1
Maximum	4710
Range	4710
Interquartile range (IQR)	167.75

Descriptive statistics

Standard deviation	449.4723571
Coefficient of variation (CV)	2.0901499
Kurtosis	18.42703221
Mean	215.0431206
Median Absolute Deviation (MAD)	50
Skewness	3.91912765
Sum	1516054
Variance	202025.3998
Monotocity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
1	128	1.8%
2	127	1.8%
0	126	1.8%
14	124	1.8%
12	120	1.7%
3	118	1.7%
10	110	1.6%
18	106	1.5%
19	97	1.4%
11	97	1.4%
Other values (1034)	5897	83.6%

Minimum 5 values
Maximum 5 values

Value	Count	Frequency (%)
0	126	1.8%
1	128	1.8%
2	127	1.8%
3	118	1.7%
4	76	1.1%

Value	Count	Frequency (%)
4710	1	< 0.1%
4315	1	< 0.1%
4241	2	< 0.1%
4094	1	< 0.1%
4054	2	< 0.1%

num_loves
Real number (ℝ_≥0)

ZEROS

Distinct	229
Distinct (%)	3.2%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%

Mean	12.72865248
Minimum	0
Maximum	657
Zeros	4230
Zeros (%)	60.0%
Memory size	55.2 KiB

Quantile statistics

Minimum	0
5-th percentile	0
Q1	0
median	0
Q3	3
95-th percentile	77
Maximum	657
Range	657
Interquartile range (IQR)	3

Descriptive statistics

Standard deviation	39.97293011
Coefficient of variation (CV)	3.140389775
Kurtosis	50.57163221
Mean	12.72865248
Median Absolute Deviation (MAD)	0
Skewness	6.004845077
Sum	89737
Variance	1597.835141
Monotocity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
0	4230	60.0%
1	611	8.7%
2	282	4.0%
3	213	3.0%
4	131	1.9%
5	108	1.5%
6	80	1.1%
7	72	1.0%
8	47	0.7%
9	43	0.6%
Other values (219)	1233	17.5%

Minimum 5 values
Maximum 5 values

Value	Count	Frequency (%)
0	4230	60.0%
1	611	8.7%
2	282	4.0%
3	213	3.0%
4	131	1.9%

Value	Count	Frequency (%)
657	1	< 0.1%
529	1	< 0.1%
504	1	< 0.1%
485	1	< 0.1%
482	2	< 0.1%

num_wows
Real number (ℝ_≥0)

ZEROS

Distinct	65
Distinct (%)	0.9%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%

Mean	1.289361702
Minimum	0
Maximum	278
Zeros	5308
Zeros (%)	75.3%
Memory size	55.2 KiB

Quantile statistics

Minimum	0
5-th percentile	0
Q1	0
median	0
Q3	0
95-th percentile	4
Maximum	278
Range	278
Interquartile range (IQR)	0

Descriptive statistics

Standard deviation	8.71965038
Coefficient of variation (CV)	6.762765147
Kurtosis	415.5921273
Mean	1.289361702
Median Absolute Deviation (MAD)	0
Skewness	18.24681302
Sum	9090
Variance	76.03230276
Monotocity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
0	5308	75.3%
1	704	10.0%
2	347	4.9%
3	216	3.1%
4	137	1.9%
5	77	1.1%
6	55	0.8%
7	29	0.4%
8	28	0.4%
9	19	0.3%
Other values (55)	130	1.8%

Minimum 5 values
Maximum 5 values

Value	Count	Frequency (%)
0	5308	75.3%
1	704	10.0%
2	347	4.9%
3	216	3.1%
4	137	1.9%

Value	Count	Frequency (%)
278	1	< 0.1%
252	1	< 0.1%
206	1	< 0.1%
200	1	< 0.1%
177	1	< 0.1%

num_hahas
Real number (ℝ_≥0)

SKEWED
ZEROS

Distinct	42
Distinct (%)	0.6%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%

Mean	0.6964539007
Minimum	0
Maximum	157
Zeros	5916
Zeros (%)	83.9%
Memory size	55.2 KiB

Quantile statistics

Minimum	0
5-th percentile	0
Q1	0
median	0
Q3	0
95-th percentile	4
Maximum	157
Range	157
Interquartile range (IQR)	0

Descriptive statistics

Standard deviation	3.957183443
Coefficient of variation (CV)	5.681902907
Kurtosis	587.181095
Mean	0.6964539007
Median Absolute Deviation (MAD)	0
Skewness	20.30574123
Sum	4910
Variance	15.6593008
Monotocity	Not monotonic

Histogram with fixed size bins (bins=42)

Value	Count	Frequency (%)
0	5916	83.9%
1	399	5.7%
2	228	3.2%
3	149	2.1%
4	100	1.4%
5	64	0.9%
6	34	0.5%
8	24	0.3%
7	20	0.3%
9	17	0.2%
Other values (32)	99	1.4%

Minimum 5 values
Maximum 5 values

Value	Count	Frequency (%)
0	5916	83.9%
1	399	5.7%
2	228	3.2%
3	149	2.1%
4	100	1.4%

Value	Count	Frequency (%)
157	1	< 0.1%
102	1	< 0.1%
100	1	< 0.1%
97	1	< 0.1%
91	1	< 0.1%

num_sads
Real number (ℝ_≥0)

ZEROS

Distinct	24
Distinct (%)	0.3%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%

Mean	0.2436879433
Minimum	0
Maximum	51
Zeros	6443
Zeros (%)	91.4%
Memory size	55.2 KiB

Quantile statistics

Minimum	0
5-th percentile	0
Q1	0
median	0
Q3	0
95-th percentile	1
Maximum	51
Range	51
Interquartile range (IQR)	0

Descriptive statistics

Standard deviation	1.59715594
Coefficient of variation (CV)	6.554103244
Kurtosis	427.0720932
Mean	0.2436879433
Median Absolute Deviation (MAD)	0
Skewness	17.57886772
Sum	1718
Variance	2.550907095
Monotocity	Not monotonic

Histogram with fixed size bins (bins=24)

Value	Count	Frequency (%)
0	6443	91.4%
1	321	4.6%
2	113	1.6%
3	64	0.9%
4	37	0.5%
5	14	0.2%
6	12	0.2%
8	12	0.2%
10	6	0.1%
7	6	0.1%
Other values (14)	22	0.3%

Minimum 5 values
Maximum 5 values

Value	Count	Frequency (%)
0	6443	91.4%
1	321	4.6%
2	113	1.6%
3	64	0.9%
4	37	0.5%

Value	Count	Frequency (%)
51	1	< 0.1%
46	2	< 0.1%
37	1	< 0.1%
28	1	< 0.1%
23	2	< 0.1%

num_angrys
Real number (ℝ_≥0)

ZEROS

Distinct	14
Distinct (%)	0.2%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%

Mean	0.1131914894
Minimum	0
Maximum	31
Zeros	6627
Zeros (%)	94.0%
Memory size	55.2 KiB

Quantile statistics

Minimum	0
5-th percentile	0
Q1	0
median	0
Q3	0
95-th percentile	1
Maximum	31
Range	31
Interquartile range (IQR)	0

Descriptive statistics

Standard deviation	0.7268118907
Coefficient of variation (CV)	6.421082493
Kurtosis	624.7529455
Mean	0.1131914894
Median Absolute Deviation (MAD)	0
Skewness	19.50712917
Sum	798
Variance	0.5282555244
Monotocity	Not monotonic

Histogram with fixed size bins (bins=14)

Value	Count	Frequency (%)
0	6627	94.0%
1	276	3.9%
2	71	1.0%
3	35	0.5%
4	17	0.2%
5	9	0.1%
6	4	0.1%
8	3	< 0.1%
7	2	< 0.1%
19	2	< 0.1%
Other values (4)	4	0.1%

Minimum 5 values
Maximum 5 values

Value	Count	Frequency (%)
0	6627	94.0%
1	276	3.9%
2	71	1.0%
3	35	0.5%
4	17	0.2%

Value	Count	Frequency (%)
31	1	< 0.1%
19	2	< 0.1%
12	1	< 0.1%
10	1	< 0.1%
9	1	< 0.1%

status_link
Categorical

Distinct	2
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	55.2 KiB

0	6987
1	63

Length

Max length	1
Median length	1
Mean length	1
Min length	1

Characters and Unicode

Total characters	7050
Distinct characters	2
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	0
2nd row	0
3rd row	0
4th row	0
5th row	0

Value	Count	Frequency (%)
0	6987	99.1%
1	63	0.9%

Histogram of lengths of the category

Value	Count	Frequency (%)
0	6987	99.1%
1	63	0.9%

Most occurring characters

Value	Count	Frequency (%)
0	6987	99.1%
1	63	0.9%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	7050	100.0%

Most frequent character per category

Value	Count	Frequency (%)
0	6987	99.1%
1	63	0.9%

Most occurring scripts

Value	Count	Frequency (%)
Common	7050	100.0%

Most frequent character per script

Value	Count	Frequency (%)
0	6987	99.1%
1	63	0.9%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	7050	100.0%

Most frequent character per block

Value	Count	Frequency (%)
0	6987	99.1%
1	63	0.9%

status_photo
Categorical

Distinct	2
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	55.2 KiB

1	4288
0	2762

Length

Max length	1
Median length	1
Mean length	1
Min length	1

Characters and Unicode

Total characters	7050
Distinct characters	2
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	0
2nd row	1
3rd row	0
4th row	1
5th row	1

Value	Count	Frequency (%)
1	4288	60.8%
0	2762	39.2%

Histogram of lengths of the category

Value	Count	Frequency (%)
1	4288	60.8%
0	2762	39.2%

Most occurring characters

Value	Count	Frequency (%)
1	4288	60.8%
0	2762	39.2%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	7050	100.0%

Most frequent character per category

Value	Count	Frequency (%)
1	4288	60.8%
0	2762	39.2%

Most occurring scripts

Value	Count	Frequency (%)
Common	7050	100.0%

Most frequent character per script

Value	Count	Frequency (%)
1	4288	60.8%
0	2762	39.2%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	7050	100.0%

Most frequent character per block

Value	Count	Frequency (%)
1	4288	60.8%
0	2762	39.2%

status_status
Categorical

Distinct	2
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	55.2 KiB

0	6685
1	365

Length

Max length	1
Median length	1
Mean length	1
Min length	1

Characters and Unicode

Total characters	7050
Distinct characters	2
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	0
2nd row	0
3rd row	0
4th row	0
5th row	0

Value	Count	Frequency (%)
0	6685	94.8%
1	365	5.2%

Histogram of lengths of the category

Value	Count	Frequency (%)
0	6685	94.8%
1	365	5.2%

Most occurring characters

Value	Count	Frequency (%)
0	6685	94.8%
1	365	5.2%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	7050	100.0%

Most frequent character per category

Value	Count	Frequency (%)
0	6685	94.8%
1	365	5.2%

Most occurring scripts

Value	Count	Frequency (%)
Common	7050	100.0%

Most frequent character per script

Value	Count	Frequency (%)
0	6685	94.8%
1	365	5.2%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	7050	100.0%

Most frequent character per block

Value	Count	Frequency (%)
0	6685	94.8%
1	365	5.2%

Pearson's r

The Pearson's correlation coefficient (r) is a measure of linear correlation between two variables. It's value lies between -1 and +1, -1 indicating total negative linear correlation, 0 indicating no linear correlation and 1 indicating total positive linear correlation. Furthermore, r is invariant under separate changes in location and scale of the two variables, implying that for a linear function the angle to the x-axis does not affect r.

To calculate r for two variables X and Y, one divides the covariance of X and Y by the product of their standard deviations.

Spearman's ρ

The Spearman's rank correlation coefficient (ρ) is a measure of monotonic correlation between two variables, and is therefore better in catching nonlinear monotonic correlations than Pearson's r. It's value lies between -1 and +1, -1 indicating total negative monotonic correlation, 0 indicating no monotonic correlation and 1 indicating total positive monotonic correlation.

To calculate ρ for two variables X and Y, one divides the covariance of the rank variables of X and Y by the product of their standard deviations.

Kendall's τ

Similarly to Spearman's rank correlation coefficient, the Kendall rank correlation coefficient (τ) measures ordinal association between two variables. It's value lies between -1 and +1, -1 indicating total negative correlation, 0 indicating no correlation and 1 indicating total positive correlation.

To calculate τ for two variables X and Y, one determines the number of concordant and discordant pairs of observations. τ is given by the number of concordant pairs minus the discordant pairs divided by the total number of pairs.

Phik (φk)

Phik (φk) is a new and practical correlation coefficient that works consistently between categorical, ordinal and interval variables, captures non-linear dependency and reverts to the Pearson correlation coefficient in case of a bivariate normal input distribution. There is extensive documentation available here.

Cramér's V (φc)

Cramér's V is an association measure for nominal random variables. The coefficient ranges from 0 to 1, with 0 indicating independence and 1 indicating perfect association. The empirical estimators used for Cramér's V have been proved to be biased, even for large samples. We use a bias-corrected measure that has been proposed by Bergsma in 2013 that can be found here.

Count
Matrix

A simple visualization of nullity by column.

Nullity matrix is a data-dense display which lets you quickly visually pick out patterns in data completion.

First rows

	status_id	num_reactions	num_comments	num_shares	num_likes	num_loves	num_wows	num_hahas	num_sads	num_angrys	status_photo
0	246675545449582_1649696485147474	529	512	262	432	92	3	1	1	0	0
1	246675545449582_1649426988507757	150	0	0	150	0	0	0	0	0	1
2	246675545449582_1648730588577397	227	236	57	204	21	1	1	0	0	0
3	246675545449582_1648576705259452	111	0	0	111	0	0	0	0	0	1
4	246675545449582_1645700502213739	213	0	0	204	9	0	0	0	0	1
5	246675545449582_1645650162218773	217	6	0	211	5	1	0	0	0	1
6	246675545449582_1645564175560705	503	614	72	418	70	10	2	0	3	0
7	246675545449582_1644824665634656	295	453	53	260	32	1	1	0	1	0
8	246675545449582_1644655795651543	203	1	0	198	5	0	0	0	0	1
9	246675545449582_1638788379571618	170	9	1	167	3	0	0	0	0	1

Last rows

	status_id	num_reactions	num_comments	num_shares	num_likes	num_loves	num_hahas	status_photo
7040	1050855161656896_1063071050435307	93	26	34	90	3	0	1
7041	1050855161656896_1062020473873698	9	0	0	7	2	0	1
7042	1050855161656896_1061944223881323	4	0	0	4	0	0	1
7043	1050855161656896_1061918183883927	196	2	3	195	1	0	1
7044	1050855161656896_1061906620551750	86	0	0	86	0	0	1
7045	1050855161656896_1061863470556065	89	0	0	89	0	0	1
7046	1050855161656896_1061334757275603	16	0	0	14	1	1	1
7047	1050855161656896_1060126464063099	2	0	0	1	1	0	1
7048	1050855161656896_1058663487542730	351	12	22	349	2	0	1
7049	1050855161656896_1050858841656528	17	0	0	17	0	0	1

Most frequent

	status_id	num_reactions	num_comments	num_shares	num_likes	num_loves	num_wows	num_hahas	num_sads	status_photo	count
0	246675545449582_326883450762124	211	2	0	211	0	0	0	0	1	2
1	246675545449582_429583263825475	537	16	1	537	0	0	0	0	1	2
2	819700534875473_1000607730118085	1704	21	3	1685	15	2	2	0	1	2
3	819700534875473_1001982519980606	255	7	4	249	6	0	0	0	1	2
4	819700534875473_1002372733274918	376	20	3	354	19	3	0	0	0	2
5	819700534875473_951614605017398	985	71	42	962	5	16	2	0	1	2
6	819700534875473_953048221540703	1985	39	21	1961	11	12	0	1	1	2
7	819700534875473_954387151406810	186	15	1	172	3	11	0	0	1	2
8	819700534875473_955149101330615	114	6	1	108	3	3	0	0	1	2
9	819700534875473_955743124604546	879	165	18	867	4	8	0	0	1	2

Overview

Variables

Most occurring characters

Most occurring categories

Most frequent character per category

Most occurring scripts

Most frequent character per script

Most occurring blocks

Most frequent character per block

Most occurring characters

Most occurring categories

Most frequent character per category

Most occurring scripts

Most frequent character per script

Most occurring blocks

Most frequent character per block

Most occurring characters

Most occurring categories

Most frequent character per category

Most occurring scripts

Most frequent character per script

Most occurring blocks

Most frequent character per block

Most occurring characters

Most occurring categories

Most frequent character per category

Most occurring scripts

Most frequent character per script

Most occurring blocks

Most frequent character per block

Interactions

Correlations

Pearson's r

Spearman's ρ

Kendall's τ

Phik (φk)

Cramér's V (φc)

Missing values

Sample

First rows

Last rows

Duplicate rows

Most frequent